LabNote is an AI-powered research platform designed to innovate and streamline the entire research workflow. It combines an electronic lab notebook (ELN), collaborative data management, and specialized tools like an AI research assistant (Labnote Scholar) and automated non-clinical documentation (Labnote Preclindoc), empowering researchers to focus on discovery.
Rayyan is an AI-powered platform designed for researchers to accelerate systematic and literature reviews. It streamlines the process with features like automated screening, duplicate detection, and real-time collaboration, saving researchers up to 90% of their screening time. Trusted by over 800,000 users, it supports the entire review lifecycle from data import to final reporting.
Product overview
LabNote Product overview
LabNote is an AI-powered research platform designed to innovate and streamline the entire research workflow. It combines an electronic lab notebook (ELN), collaborative data management, and specialized tools like an AI research assistant (Labnote Scholar) and automated non-clinical documentation (Labnote Preclindoc), empowering researchers to focus on discovery.
Rayyan Product overview
Rayyan is an AI-powered platform designed for researchers to accelerate systematic and literature reviews. It streamlines the process with features like automated screening, duplicate detection, and real-time collaboration, saving researchers up to 90% of their screening time. Trusted by over 800,000 users, it supports the entire review lifecycle from data import to final reporting.
Detailed feature comparison
| Feature | LabNote | Rayyan |
|---|---|---|
| Primary category | Data Management | Academic |
| Added | 2025-08-11 | 2025-09-11 |
| Pricing | Freemium | Freemium |
| Official website | www.labnote.co | rayyan.ai |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 3.4K | 1.1M |
| Monthly growth | -21% | -4% |
| Favorites | 124 | 128 |
| Details | View details | View details |
LabNote vs Rayyan monthly traffic
Compare LabNote and Rayyan by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the LabNote vs Rayyan monthly traffic comparison, LabNote currently shows 3.4K visits and Rayyan shows 1.1M; Rayyan has about 324.3 times the visible traffic of LabNote, an absolute difference of about 1.1M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
LabNote monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 6.2K Monthly visits
- 2026/1: 6.2K Monthly visits
- 2026/2: 4.7K Monthly visits
- 2026/3: 6.5K Monthly visits
- 2026/4: 4.2K Monthly visits
- 2026/5: 3.4K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇰🇷Korea, Republic of | 100% | 3.4K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 100% | 3.4K |
Search keywords
Rayyan monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 917.4K Monthly visits
- 2026/1: 942.9K Monthly visits
- 2026/2: 1M Monthly visits
- 2026/3: 1.1M Monthly visits
- 2026/4: 1.1M Monthly visits
- 2026/5: 1.1M Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 32.99% | 359.1K |
| 🇧🇷Brazil | 31.2% | 339.6K |
| 🇬🇧United Kingdom | 20.31% | 221K |
| 🇵🇰Pakistan | 7.75% | 84.3K |
| 🇵🇹Portugal | 7.75% | 84.3K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 80.86% | 880.1K |
| Referral | 14.66% | 159.6K |
| 4.48% | 48.8K |
Search keywords
Usage comparison
Compare the core capabilities of LabNote and Rayyan
LabNote Core features
Rayyan Core features
Use cases
LabNote Use cases
Rayyan Use cases
Best suited roles
LabNote Best suited roles
Rayyan Best suited roles
LabNote vs Rayyan:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth LabNote vs Rayyan comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. LabNote is primarily listed under “Data Management”, while Rayyan is primarily listed under “Academic”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (LabNote: Data Management; Rayyan: Academic); Monthly visits (LabNote: 3.4K; Rayyan: 1.1M); Monthly growth (LabNote: -21%; Rayyan: -4%); Favorites (LabNote: 124; Rayyan: 128); Website (LabNote: www.labnote.co; Rayyan: rayyan.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the LabNote vs Rayyan monthly traffic comparison, LabNote currently shows 3.4K visits and Rayyan shows 1.1M; Rayyan has about 324.3 times the visible traffic of LabNote, an absolute difference of about 1.1M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Rayyan first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
LabNote and Rayyan currently overlap in shared categories: Research; shared tags: collaboration and research. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
LabNote's unique categories/tags are Data Management, Laboratory Information Management, AI assistant, biotech, CRO, data management, electronic lab notebook, and ELN; Rayyan's are Academic, academic, AI screening, data analysis, deduplication, literature review, medical research, and Prisma. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
LabNote has no verified rating, 0 comments, 124 favorites, and 116 likes;Rayyan has no verified rating, 0 comments, 128 favorites, and 116 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate LabNote first
Put LabNote on the priority trial list when the task aligns with “Data Management” and especially Data Management, Laboratory Information Management, AI assistant, biotech, CRO, and data management. This follows recorded positioning and does not imply unlisted capabilities are absent.
LabNote also currently records: pricing is freemium, product type is website, 3.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Rayyan first
Put Rayyan on the priority trial list when the task aligns with “Academic” and especially Academic, academic, AI screening, data analysis, deduplication, and literature review, or the users include Academic, Data Analyst, Librarian, and Medical Professional. This follows recorded positioning and does not imply unlisted capabilities are absent.
Rayyan also currently records: pricing is freemium, product type is website, 1.1M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in LabNote and Rayyan, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




